okay in this video let's go talk very briefly about how you structure a statistical analysis section and a result section in a scientific lab report because that's what the skills that you've been learning in research methods so far especially quantitative research methods has all been about in lab reports of which you are going to write several across your time at university including your final year dissertation which would be a research project you are going to have to integrate data handling statistical analysis and data presentation skills in order to do well in those lab reports and so what I've opened up here is the model answer from week 3 now if you remember in week 3 part a of that task asked you to create a result section in a statistical analysis section for data where you were looking at the difference between vertical jump heights and 20 meter sprint performances with and without arms so let's look at the statistical analysis section of first okay but I think the first thing to point out that these sections shouldn't be overly long okay you can see that the statistical analysis section is only three or four sentences and the results section is only one sentence so writing a good result section is not dependent on the length of it okay now at the statistical analysis section the first thing you have to do is say where you performed the analysis what software do you use so all statistical analysis was performed in IBM SPSS and in this case we're using version 22 and then you literally just walk your reader through the process that you went through in order to decide what particular test to apply and then which test you actually did apply and what your Thresh for accepting whether there was a real difference or no difference so as you can see here data were checked for distribution using the Shapiro well test and then based on that you decided which particular test you were going to apply so data on the vertical jumps we find was normally distributed so we could use the parametric test which was a paired samples t-test to make the comparisons between vertical jump performance with and without arms the data on the 20 meter sprint performance was not normally distributed so we had to make the comparisons using the nonparametric test which was the wilcoxon signed-rank test so you just states of reader that what exactly procedure you followed from there it is and then you have to say what your threshold was for accepting whether there was a difference in all cases we will accept threshold of lower than 0.05 so significance was set at P lower than 0.05 that's justice task analysis section if you have more variables that will remember to leave it there be a bit longer but you don't have to make it any longer than it needs to be to explain the process of which you did it okay now we move on to the results section so in the results section all we do is state the results that we found we don't try and explain the results we don't try and introduce why we were examining something we just state what we found all the rest of it comes in different sections so when we try and discuss why anyway if I was something that obviously comes in the discussion section where we try and say why we're interested in a particular comparison that comes in the introduction section in the results we just state our findings so what you should be essentially trying to say is what was the comparison that you were making what was the finding which direction was the finding and some kind of indication by the magnitude of the finding so in this case I've written vertical jump height was significantly I either is a real difference lower okay so vertical height was lower and I've 12.4% so is lower by 12.4% when participants were not allowed to use their arms compared with when they were so that tells the reader that vertical jump height performance was impaired by this much when participants were allowed to use their arms compared with where they were same for a 20 metre sprint performance 20 meter sprint performance was significantly slower so time increased by +3 % when pricipal participants were not allowed to use their arms compared with when they were provide the magnitude provide the lower threshold so you've saying a significantly slower you have to say P was lower than 0.05 so remember you don't present the actual statistical boxes from SPSS you just use the p-values and the probabilities that you calculate spss to support the statements that you make so you're saying here 20 meter sprint performance were significantly slower you support that with your statistical analysis P lower than 0.05 and then finally you can see here what I've done is after this table of the results I've said figure 1 a and B respectively and that just tells the reader that if you want to see the data that I'm talking about here then you refer to figures 1a and 1b and then you can see here that the figures are presented below so thicker one a vertical jump performance arms and no arms and figure 1b at 20 meter sprint performance arms and norms provide a nice tie so for the reader so that they know what they're looking for so that when they're referring down to the figure they can see what's being presented tell the reader how the data is presented in a figure and make sure you to know what the significance value is using the Stars and then give them a little footnote to tell them what that means ok keep it short keep it succinct and keep it on topic that's this video